Centralized employee data analytics
View Patent ↗Systems and methods are provided for centralized employee data analytics. For example, a method includes collecting employee data for one or more employees of an organization from a plurality of data sources, analyzing the collected employee data to determine criteria for use in assessing management skills of employees in the organization, and utilizing the determined criteria to rate an employee's management skills in the organization.
1. A method, comprising:
executing a data analytics platform on one or more servers of a cloud network;
executing an automated process by the data analytics platform, which comprises:
executing a data collection and mining engine of the data analytics platform to: (i) automatically access a plurality of disparate data sources of employee information over one or more networks coupled to the cloud network; (ii) mine the plurality of disparate data sources to extract employee data for a plurality of employees of an organization from the plurality of disparate data sources, wherein the extracted employee data comprises information that is relevant to assessing management skills; and (iii) store the extracted employee data in a centralized database of the data analytics platform;
executing a data analytics engine of the data analytics platform which utilizes machine learning and statistical analysis methods to automatically analyze the extracted employee data stored in the centralized database of the data analytics platform and automatically learn criteria that is utilized to assess management skills of employees in the organization; and
storing the learned criteria in the centralized database of the data analytics platform;
rendering, by the data analytics platform, a graphical user interface which is configured to allow a user to submit a service request to the data analytics platform;
receiving, by the data analytics platform, a user request for an employee data analytics service which is submitted through the graphical user interface;
servicing said received user request by the data analytics platform, wherein servicing said received user request comprises:
accessing employee data for a given employee which is stored in the centralized database;
executing a scoring engine of the data analytics platform to process said accessed employee data for the given employee utilizing said learned criteria to rate management skills of the given employee in the organization; and
executing a reporting engine of the data analytics platform to provide feedback to said requesting user regarding the given employee, wherein said feedback comprises a rating of the given employee's management skills in the organization as automatically determined by the scoring engine,
wherein the automated process executed by the data analytics platform is performed under the control of one or more processor devices that reside on the one or more servers of the cloud network.
2. The method of claim 1 , wherein the disparate data sources comprise an employee performance appraisal system, and wherein collecting employee data comprises obtaining manager performance ratings of one or more managers in the organization from the employee performance appraisal system.
3. The method of claim 1 , wherein the disparate data sources comprise an employee survey system, and wherein collecting employee data comprises obtaining feedback data from employees rating their managers in the organization.
4. The method of claim 1 , wherein the disparate data sources comprise an employee messaging system, wherein the collected data comprises information from the employee messaging system that indicates a degree to which an employee is connected within the organization.
5. The method of claim 1 , wherein the disparate data sources comprise an employee messaging system, wherein the collected data comprises information from the employee messaging system that indicates how responsive an employee is to other employees within the organization.
6. The method of claim 1 , wherein the disparate data sources comprise a social network, wherein the collected data comprises information that indicates a degree to which an employee promotes business of the organization within the social network.
7. The method of claim 1 , wherein the disparate data sources comprise one or more sensors within an Internet of Things network, wherein the collected data comprises information that is obtained about an employee's interactions and work schedules within the organization.
8. The method of claim 1 , wherein the disparate data sources comprise an external data source from which benchmarking data is obtained regarding management skills of employees in other organizations.
9. The method of claim 1 , wherein executing the scoring engine to utilize the learned criteria to rate the at least one employee's management skills in the organization comprises executing the scoring engine to generate a score for the at least one employee which rates the management skills of the at least one employee relative to the management skills of other employees within the organization.
10. The method of claim 9 , wherein the score is specific with regard to data collected for a given one of the data sources.
11. The method of claim 9 , wherein the score is specific with regard to data collected for a group of two or more of the data sources.
12. The method of claim 1 , further comprising executing the reporting engine to provide a recommendation for enhancing the management skills of the at least one employee.
13. An article of manufacture comprising a processor-readable storage medium having encoded therein executable code of one or more software programs, wherein the one or more software programs when executed by the at least one processing device implement a method comprising:
executing a data analytics platform on one or more servers of a cloud network;
executing an automated process by the data analytics platform, which comprises:
executing a data collection and mining engine of the data analytics platform to: (i) automatically access a plurality of disparate data sources of employee information over one or more networks coupled to the cloud network; (ii) mine the plurality of disparate data sources to extract employee data for a plurality of employees of an organization from the plurality of disparate data sources, wherein the extracted employee data comprises information that is relevant to assessing management skills; and (iii) store the extracted employee data in a centralized database of the data analytics platform;
executing a data analytics engine of the data analytics platform which utilizes machine learning and statistical analysis methods to automatically analyze the extracted employee data stored in the centralized database of the data analytics platform and automatically learn criteria that is utilized to assess management skills of employees in the organization; and
storing the learned criteria in the centralized database of the data analytics platform;
rendering, by the data analytics platform, a graphical user interface which is configured to allow a user to submit a service request to the data analytics platform;
receiving, by the data analytics platform, a user request for an employee data analytics service which is submitted through the graphical user interface;
servicing said received user request by the data analytics platform, wherein servicing said received user request comprises:
accessing employee data for a given employee which is stored in the centralized database;
executing a scoring engine of the data analytics platform to process said accessed employee data for the given employee utilizing said learned criteria to rate management skills of the given employee in the organization; and
executing a reporting engine of the data analytics platform to provide feedback to said requesting user regarding the given employee, wherein said feedback comprises a rating of the given employee's management skills in the organization as automatically determined by the scoring engine.
14. An apparatus, comprising:
a processor, and
a memory coupled to the processor, wherein the memory comprises program instructions that are executed by the processor to implement a process comprising:
executing a data analytics platform on one or more servers of a cloud network;
executing an automated process by the data analytics platform, which comprises:
executing a data collection and mining engine of the data analytics platform to: (i) automatically access a plurality of disparate data sources of employee information over one or more networks coupled to the cloud network; (ii) mine the plurality of disparate data sources to extract employee data for a plurality of employees of an organization from the plurality of disparate data sources, wherein the extracted employee data comprises information that is relevant to assessing management skills; and (iii) store the extracted employee data in a centralized database of the data analytics platform;
executing a data analytics engine of the data analytics platform which utilizes machine learning and statistical analysis methods to automatically analyze the extracted employee data stored in the centralized database of the data analytics platform and automatically learn criteria that is utilized to assess management skills of employees in the organization; and
storing the learned criteria in the centralized database of the data analytics platform;
rendering, by the data analytics platform, a graphical user interface which is configured to allow a user to submit a service request to the data analytics platform;
receiving, by the data analytics platform, a user request for an employee data analytics service which is submitted through the graphical user interface;
servicing said received user request by the data analytics platform, wherein servicing said received user request comprises:
accessing employee data for a given employee which is stored in the centralized database;
executing a scoring engine of the data analytics platform to process said accessed employee data for the given employee utilizing said learned criteria to rate management skills of the given employee in the organization; and
executing a reporting engine of the data analytics platform to provide feedback to said requesting user regarding the given employee, wherein said feedback comprises a rating of the given employee's management skills in the organization as automatically determined by the scoring engine.
15. The apparatus of claim 14 , wherein the disparate data sources comprise an employee performance appraisal system and an employee survey system, wherein collecting employee data comprises obtaining manager performance ratings of one or more managers in the organization from the employee performance appraisal system, and obtaining feedback data from employees rating their managers in the organization.
16. The apparatus of claim 14 , wherein the disparate data sources comprise an employee messaging system, wherein the collected data comprises information from the employee messaging system that indicates a degree to which an employee is connected within the organization.
17. The apparatus of claim 14 , wherein the disparate data sources comprise an employee messaging system, wherein the collected data comprises information from the employee messaging system that indicates how responsive an employee is to other employees within the organization.
18. The apparatus of claim 14 , wherein the disparate data sources comprise a social network, wherein the collected data comprises information that indicates a degree to which an employee promotes business of the organization within the social network.
19. The apparatus of claim 14 , wherein the disparate data sources comprise one or more sensors within an Internet of Things network, wherein the collected data comprises information that is obtained about an employee's interactions and work schedules within the organization.
20. The apparatus of claim 14 , wherein the disparate data sources comprise an external data source from which benchmarking data is obtained regarding management skills of employees in other organizations.